Session

Commodity hardware, faster, cheaper disks, and open source software now make building a data warehouse more of a resource and design issue than a cost consideration for many organizations. A robust analysis infrastructure can be built using open source components with no performance or functional compromises.

This talk covers a proven analysis architecture, the open source tool options for each architecture component, the basics of dimensional modeling, and a few tricks of the trade.

Why open source? Aside from the cost savings, open source lets you leverage what your staff already knows--tools like Perl, SQL and Apache--rather than having to procure and staff for the proprietary tools that dominate the commercial space. Topics include: